docs: def normalized(vector):
      """
      Get unit vector for a given one.
  
      :param vector:
          Numpy vector as coordinates in Cartesian space, or an array of such.
      :returns:
          Numpy array of the same shape and structure where all vectors are
          normalized. That is, each coordinate component is divided by its
          vector's length.
      """
      length = numpy.sum(vector * vector, axis=-1)
      length = numpy.sqrt(length.reshape(length.shape + (1, )))
      return vector / length